Big Data Big Impact
Aug 2024 – Present
President
- Directing 30+ board members and coordinating workshops, project teams, and events for 200+ Georgia Tech undergraduates, fostering hands-on experience in applied machine learning
- Overseeing 10 diverse AI/ML project teams tackling real-world applications, including financial analysis, data augmentation, and predictive modeling
- Driving engagement and participation, achieving over 70% higher kickoff attendance and 30% more project team applications than previous semesters
SimpliEarn Project Lead
- Led a team of 12 undergraduate students to create an interactive educational platform to analyze and interpret key insights from financial earnings calls for novice investors
- Oversaw the research and testing of sentiment analysis, emotion classification, and feature extraction tools for multimodal data (MISA, MuSE, Cross-Modal BERT), text data (RoBERTa, FinBERT, VaDER, SubjECTiveQA), and audio data (wav2vec, OpenSMILE)
- Provided feedback on the development and prompt engineering of a RAG-based chatbot to clarify questions or complex jargon from earnings calls
Flight Delay Prediction Analysis Team Member
- Collected and preprocessed nearly 120,000 rows of weather data corresponding to historical flight records via the OpenMeteo API, integrating it with a 6-million-row flight dataset to improve feature representation
- Trained and evaluated Random Forest, MLP, RNN, and XGBoost models in Jupyter Notebooks using TensorFlow, achieving 67% predictive accuracy
- Optimized deployment on Google Cloud Run, reducing model size by 83%, data usage by 90%, and training time by 80% while maintaining performance
